Green digital finance is an instrumental way to promote technological innovation, accelerate the low-carbon transition, and foster sustainable development. With the emergence of green digital finance, how does it affect firms’ energy use efficiency? Using big data and green loans as an entry point, the impact of green digital finance on corporate energy efficiency and the role of big data are examined. We provided a simple theoretical model to analyze the green loaning behavior of the banking sector after applying big data and its impact on corporate energy efficiency. Our research finds that: (1) The application of big data can make it easier for the banking sector to obtain loan companies’ information and reduce loan delinquency rates. This will reduce the information and transaction costs of the banking sector and expand the scale of optimal green loans. (2) The optimal green loan scale has a negative relationship with the optimal green loan interest rate. (3) The application of green loans by firms can improve energy efficiency and have a range of impacts on firms’ decision-making, including an increase in the emission reduction ratio, innovation probability, output, and profit, followed by a decrease in energy consumption and pollution emissions. This paper further clarifies the channels through which green digital finance affects energy efficiency and specifies the role of big data in green digital finance. This could help relevant policymakers design more effective green digital finance policies, contributing to carbon peaking and carbon neutrality goals.

中文翻译：

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大数据、绿色贷款和能源效率


绿色数字金融是推动科技创新、加速低碳转型、促进可持续发展的重要途径。绿色数字金融的出现，对企业能源利用效率有何影响？以大数据和绿色贷款为切入点，探讨绿色数字金融对企业能源效率的影响以及大数据的作用。我们提供了一个简单的理论模型来分析应用大数据后银行业的绿色信贷行为及其对企业能源效率的影响。我们的研究发现：（1）大数据的应用可以让银行业更容易获取贷款公司的信息，降低贷款拖欠率。这将降低银行业的信息和交易成本，扩大最优绿色贷款规模。 (2)最优绿色贷款规模与最优绿色贷款利率呈负相关关系。 （3）企业申请绿色贷款可以提高能源效率，对企业决策产生一系列影响，包括减排比例、创新概率、产出和利润增加，进而导致能源消耗下降消耗和污染排放。本文进一步明确了绿色数字金融影响能源效率的渠道，明确了大数据在绿色数字金融中的作用。这可以帮助相关政策制定者设计更有效的绿色数字金融政策，有助于实现碳峰值和碳中和目标。